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The Handbook of Multilevel Theory, Measurement, and Analysis - by Stephen E Humphrey & James M Lebreton (Hardcover)

The Handbook of Multilevel Theory, Measurement, and Analysis - by  Stephen E Humphrey & James M Lebreton (Hardcover)
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Last Price: 99.99 USD

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<p/><br></br><p><b> About the Book </b></p></br></br>This handbook shows scholars how to conduct multilevel research. Chapters discuss the importance of context, dynamics, and complexity, and guide readers through the nuances of research design and analysis<p/><br></br><p><b> Book Synopsis </b></p></br></br>This inclusive, thorough, and practical handbook brings together prominent experts who describe how to conduct multilevel research. Chapters show readers how to begin thinking as multilevel scholars through discussions of context, dynamics, and complexity, and guide readers through the nuances of research design and analysis. Although most contributors have backgrounds in the organizational sciences, chapters are accessible to graduate students and researchers from a wide array of research disciplines, such as communication, education, sociology, psychology, and management. <br><p/><br></br><p><b> About the Author </b></p></br></br><b>Stephen E. Humphrey, PhD, </b> is a professor of management and the Smeal College Executive Programs Fellow in the Smeal College of Business at Pennsylvania State University. His research focuses on social relations at work, with a primary focus on teamwork, the drivers of team success, and the development of relationships within teams. Much of his work unpacks the microdynamics of teams, approaching research questions using a multilevel, multiperiod, multitheoretical lens. Dr. Humphrey's research has been published in various management and psychology outlets, including <i>Academy of Management Journal, Journal of Applied Psychology, Journal of Personality, Personnel Psychology, </i> and <i>Organizational Behavior and Human Decision Processes.</i> He also has authored numerous book chapters. Finally, Dr. Humphrey previously served as the associate editor at <i>Organizational Psychology Review</i> and currently serves on the editorial boards of <i>Academy of Management Journal</i> and <i>Journal of Applied Psychology.</i> <p/><b>James M. LeBreton, PhD, </b> is a professor of psychology at Pennsylvania State University. His research focuses on the theory and measurement of implicit motives (e.g., motive to aggress, motive to achieve) and understanding how implicit motives are related to a range of work-related behaviors (e.g., counterproductive work behavior, leadership, team performance). Dr. LeBreton's methodological work focuses on topics such as assessing interrater agreement and reliability, analyzing longitudinal and multilevel data, and assessing the relative importance of predictors in regression models. In addition to authoring a book on implicit personality and several book chapters, Dr. LeBreton has published articles in outlets such as <i>Current Directions in Psychological Science, Journal of Applied Psychology, Journal of Management, Personnel Psychology, Perspectives on Psychological Science, Psychological Methods, </i> and <i>Psychological Science.</i> In 2009, he was awarded the Early Career Award from the Academy of Management's Research Methods Division and the Center for the Advancement of Research Methods and Analysis. In 2013, he was elected Fellow of the American Psychological Association and the Society for Industrial and Organizational Psychology. Dr. LeBreton has served on the Executive Committee for the Research Methods Division of the Academy of Management and the Scientific Affairs Committee for the Society for Industrial and Organizational Psychology. He currently serves on the editorial boards of <i>Human Performance, Journal of Applied Psychology, </i> and <i>Journal of Management.</i> From 2014 to 2017, Dr. LeBreton served as the editor-in-chief for <i>Organizational Research Methods.</i> In addition, he is a regular instructor and presenter for the Consortium for the Advancement of Research Methods and Analysis.

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